Based on the example of an engineering work, the experience of application of fender piles for antifloating and external wall form work of underground building was introduced.
本文结合一工程实例，介绍了围护桩兼作地下程抗浮和外墙模板的经验，实践证明效果良好。
The ANN starts with simulating cerebric visual thought, and it has wide application foreworld for geological information of underground engineering, taking on strong buzzing, fuzziness, nonlinear.
神经网络方法从模拟人脑的形象思维入手，对于处理具有强噪声、模糊性、非线性的地下工程地质信息，它具有广阔的应用前景。
The results deducted in the paper provide a basis for underground engineering on viscoelastic numerical calculation, having practical application value.
本文的结果对地下工程进行粘弹性数值计算提供了基础，具有重要的实用价值。
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